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Using ICT for algebraic expertise


                                  xkcd.com




         Christian Bokhove
       UoS, School of Education
            MaSE meeting
         October 18th, 2012
• Christian Bokhove
• From 1998-2012 teacher maths, computer
  science, head of ICT secondary school NL
• National projects maths+ict at Freudenthal
  Instituut, Utrecht University
• PhD, december 2011
  www.dudocprogramma.nl
Rationale

 Skills..…
But even if students do
  something right….
Many other things can go wrong…




          … insight…
Meanwhile…
ICT gebruik
Can we study the potential of using
 ICT to address skills and insight?
In what way can the use of ICT support acquiring,
practicing and assessing relevant mathematical skills
                 Assessment
                 - Formative (for) v Summative (of)
                 - Feedback
                   (Black & Wiliam, 1998)




 ICT tool use                           Algebraic expertise
 - Instrumentation                      - Basic skills
 - Task, technology, theory             - Symbol Sense
    (Chevallard, 1991)                     (Arcavi, 1994)
 - Teacher, student                     - Transition sec.
 - TPACK                                ed. To higher ed.
                                                Christian Bokhove
Design of the study

Cyclical design:
Phase 1: What software with what characteristics?
Phase 2: Could it work?
Phase 3: In what way could it work?
Phase 4: Does it work and why?
Phase 1: software characteristics
Results externally validated instrument.
Eerst formulate what we need, then look for
software.
Selected criteria:
   – Storage of student results;
   – In-between steps when solving equations;
   – Authoring;
   – Intuitive user interface;
   – 60+ tools tried and evaluated;
Phase 2
                             6 thinking-aloud-sessions
                             17/18 yr olds




      Qualitative analysis



 Quality    Algebra      Feedback
software
Student can choose own strategy..
Student can choose own strategy..also wrong ones
Phases 3 and 4
Digital intervention with:
   Randomization
   Feedback
   Using student work for
   classroom discussions
   “Crises”
www.algebrametinzicht.nl
Phase 4
•   324 students, 9 schools
•   Module 6 hours in 6 parts
•   Differences in deployment
•   Data collection
    – Scores pre/post for both skills and symbol sense
    – Digital scores and logfiles
    – Questionnaires
Change in appearance
Design Principles
•   Store student results
•   Formative scenarios
•   Crises
•   Feedback
Store student results
Design principle: formative scenarios




• Hattie and Timperley
• Timing and fading (Renkl et al)
Design principle: crises
John Keats

“Failure is, in a sense, the highway to success”
• Crises of learning (Van Hiele)
• Productive failure (Kapur)
• Impasse (VanLehn)
• Doll, Piaget, VanLehn, ….
Before a crisis task
Students work towards…




          http://msmcculloughsmathclass.blogspot.com/2010/12/quadratic-formula.html
But this fails in a crisis task
Addressing the crisis




                  Feedback
Design principle: feedback
• Black and William (1998)
• Assessment for learning
• Several feedback types
  (Hattie and Timperley: FT, FP, FR, FS)
Feedback per step
Getting hints and worked solutions




             IDEAS feedback (Jeuring et al)
Results
Indications that crises work
Feedback on task (FT) and feedback for
self-regulation (FR) work
Improvement in performance
Min      Max     Mdn      SD     N
symsen     -6.00    3.00    -1.00   2.35    318
 sepre
pre-test   2.00    98.00    51.00   21.37   318

 d1-d4     0.00    100.00   97.25   21.08   311

  d5       0.00    106.00   48.50   31.89   254

  d6       1.00    100.00   68.00   28.44   223
  post-    10.00   100.00   82.00   15.46   292
   test
symsen     -5.00    3.00    1.00    1.50    292
 sepost
Min      Max     Mdn      SD     N
symsen     -6.00    3.00    -1.00   2.35    318
 sepre
pre-test   2.00    98.00    51.00   21.37   318

 d1-d4     0.00    100.00   97.25   21.08   311

  d5       0.00    106.00   48.50   31.89   254

  d6       1.00    100.00   68.00   28.44   223
  post-    10.00   100.00   82.00   15.46   292
   test
symsen     -5.00    3.00    1.00    1.50    292
 sepost
Better performance but do we know
         why (predictors)?
Multilevel analysis
Predictors                No predictors
• Pre-knowledge            • Gender
• Relatively more time     • ICT knowledge
  spent on parts 5 and 6   • More time spent on
• Attitude towards           whole module
  maths                    • More time spent at
                             home or at school
Looking forward…
Quantitative AND Qualitative
• Complementary
• Qualitative
  – Insight processes   -   Grounded theory
  – Why does it work?   -
                        -
                            Case study
                            1 to 1 sessions
  – What can work?      -   Smallscale
                        -   Atlas-TI
• Quantitative
  – Effectiveness       - Multilevel analysis
                        - Learning analytics
  – Does it work?       - Datamining techniques
Theory AND Practice
• www.algebrametinzicht.nl
• Practice learns from research
  – What could work?
  – How does it work?
  – Validated intervention
• Theory learns from practice
  – Observe best practices


                                  Photo’s classroom experiments
New developments
Questions
• In what way are digital tools best integrated into
  classroom practice?
• What characteristics does a digital tool need?
• What does this mean for students and teachers?
• What are the differences between maths with pen-
  and-paper and maths with digital tools?
• What do recent developments mean for Maths
  education
   –   Big Data
   –   Tablets: handwriting recognition
   –   Khan academy
   –   Math Wars

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Presentation MaSE 18-102012

  • 1. Using ICT for algebraic expertise xkcd.com Christian Bokhove UoS, School of Education MaSE meeting October 18th, 2012
  • 2. • Christian Bokhove • From 1998-2012 teacher maths, computer science, head of ICT secondary school NL • National projects maths+ict at Freudenthal Instituut, Utrecht University • PhD, december 2011 www.dudocprogramma.nl
  • 3.
  • 5.
  • 6.
  • 7.
  • 8. But even if students do something right….
  • 9.
  • 10. Many other things can go wrong… … insight…
  • 13. Can we study the potential of using ICT to address skills and insight?
  • 14. In what way can the use of ICT support acquiring, practicing and assessing relevant mathematical skills Assessment - Formative (for) v Summative (of) - Feedback (Black & Wiliam, 1998) ICT tool use Algebraic expertise - Instrumentation - Basic skills - Task, technology, theory - Symbol Sense (Chevallard, 1991) (Arcavi, 1994) - Teacher, student - Transition sec. - TPACK ed. To higher ed. Christian Bokhove
  • 15.
  • 16. Design of the study Cyclical design: Phase 1: What software with what characteristics? Phase 2: Could it work? Phase 3: In what way could it work? Phase 4: Does it work and why?
  • 17. Phase 1: software characteristics Results externally validated instrument. Eerst formulate what we need, then look for software. Selected criteria: – Storage of student results; – In-between steps when solving equations; – Authoring; – Intuitive user interface; – 60+ tools tried and evaluated;
  • 18. Phase 2 6 thinking-aloud-sessions 17/18 yr olds Qualitative analysis Quality Algebra Feedback software
  • 19. Student can choose own strategy..
  • 20. Student can choose own strategy..also wrong ones
  • 21. Phases 3 and 4 Digital intervention with: Randomization Feedback Using student work for classroom discussions “Crises”
  • 23. Phase 4 • 324 students, 9 schools • Module 6 hours in 6 parts • Differences in deployment • Data collection – Scores pre/post for both skills and symbol sense – Digital scores and logfiles – Questionnaires
  • 25. Design Principles • Store student results • Formative scenarios • Crises • Feedback
  • 27. Design principle: formative scenarios • Hattie and Timperley • Timing and fading (Renkl et al)
  • 28. Design principle: crises John Keats “Failure is, in a sense, the highway to success” • Crises of learning (Van Hiele) • Productive failure (Kapur) • Impasse (VanLehn) • Doll, Piaget, VanLehn, ….
  • 30. Students work towards… http://msmcculloughsmathclass.blogspot.com/2010/12/quadratic-formula.html
  • 31. But this fails in a crisis task
  • 33. Design principle: feedback • Black and William (1998) • Assessment for learning • Several feedback types (Hattie and Timperley: FT, FP, FR, FS)
  • 35. Getting hints and worked solutions IDEAS feedback (Jeuring et al)
  • 36. Results Indications that crises work Feedback on task (FT) and feedback for self-regulation (FR) work Improvement in performance
  • 37.
  • 38. Min Max Mdn SD N symsen -6.00 3.00 -1.00 2.35 318 sepre pre-test 2.00 98.00 51.00 21.37 318 d1-d4 0.00 100.00 97.25 21.08 311 d5 0.00 106.00 48.50 31.89 254 d6 1.00 100.00 68.00 28.44 223 post- 10.00 100.00 82.00 15.46 292 test symsen -5.00 3.00 1.00 1.50 292 sepost
  • 39. Min Max Mdn SD N symsen -6.00 3.00 -1.00 2.35 318 sepre pre-test 2.00 98.00 51.00 21.37 318 d1-d4 0.00 100.00 97.25 21.08 311 d5 0.00 106.00 48.50 31.89 254 d6 1.00 100.00 68.00 28.44 223 post- 10.00 100.00 82.00 15.46 292 test symsen -5.00 3.00 1.00 1.50 292 sepost
  • 40. Better performance but do we know why (predictors)?
  • 42. Predictors No predictors • Pre-knowledge • Gender • Relatively more time • ICT knowledge spent on parts 5 and 6 • More time spent on • Attitude towards whole module maths • More time spent at home or at school
  • 44. Quantitative AND Qualitative • Complementary • Qualitative – Insight processes - Grounded theory – Why does it work? - - Case study 1 to 1 sessions – What can work? - Smallscale - Atlas-TI • Quantitative – Effectiveness - Multilevel analysis - Learning analytics – Does it work? - Datamining techniques
  • 45. Theory AND Practice • www.algebrametinzicht.nl • Practice learns from research – What could work? – How does it work? – Validated intervention • Theory learns from practice – Observe best practices Photo’s classroom experiments
  • 47. Questions • In what way are digital tools best integrated into classroom practice? • What characteristics does a digital tool need? • What does this mean for students and teachers? • What are the differences between maths with pen- and-paper and maths with digital tools? • What do recent developments mean for Maths education – Big Data – Tablets: handwriting recognition – Khan academy – Math Wars